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add-noise

add noise of a certain SNR to audio files

asr-server

FastCGI support for Kaldi ASR

audiofeextr

音频特征提取程序，MFCC,HFCC,MFCC_WALSH，Philips

automatic_speech_recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

chatbot-list

行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍

ctc_decoder

A ctc decoder for both online and offline asr model

deep-learning-boot-camp

A community run, 5-day PyTorch Deep Learning Bootcamp

deep-speaker

Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf

deep_learning

deep learning study and practice

dr_libs

A collection of public domain single-file libraries for C/C++.

ewokos

A microkernel os for ARM, well ported on Raspberry Pi(s)

fast_align

Simple, fast unsupervised word aligner

free-programming-books

:books: Freely available programming books

hello_demo

image-diff-view-modes

New view modes for image diffs

kaldi

Customized Kaldi

kaldi_feature

kaldi feature module from kaldi toolkit

koalajs

A JS-Native Framework

libresample

Real-time library for sample rate conversion

models

Models and examples built with TensorFlow

plda

Probabilistic Linear Discriminant Analysis

rokid-skill-sample

Rokid技能开发示例代码

sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

speaker-verification

Implementation of state of the art d-vector approach for speaker verification

speaker-verification-paper-list

paper list for speaker verification

sr_with_kaldi

Speaker embedding(verification and recognition) using Tensorflow with Kaldi

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

supervised_ivectors

Using ASR posteriors instead of UBM posteriors to train i-vectors. Based on the idea proposed by Yun Lei et al., "A novel scheme for speaker recognition using a phonetically-aware deep neural network," ICASSP14

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

tfkaldi

Speech recognition software where the neural net is trained with TensorFlow and GMM training and decoding is done in Kaldi